title: Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images.
abstract: Age-related macular degeneration (AMD) is the leading cause of blindness in developed countries. Subretinal fluid (SRF) and sub-retinal pigment epithelium (sub-RPE) fluid are signs of AMD and can be detected in optical coherence tomography images. However, manual detection and segmentation of SRFs and sub-RPE fluids are laborious and time consuming. In this paper, a novel pipeline is proposed for automatic detection of SRFs and sub-RPE fluids. First, top and bottom layers of retina are segmented using a graph cut method. Then, a Split Bregman-based segmentation method is used to segment dark regions between layers. These segmented regions are considered as potential fluid candidates, on which a set of features are generated. After that, a random forest classifier is trained to distinguish between the true fluid regions from the falsely detected fluid regions. This method shows reasonable performance in a leave-one-out evaluation using a dataset from 21 patients.
authors.forename: Weiguang
authors.initials: W
authors.lastname: Ding
authors.forename: Mei
authors.initials: M
authors.lastname: Young
authors.forename: Serge
authors.initials: S
authors.lastname: Bourgault
authors.forename: Sieun
authors.initials: S
authors.lastname: Lee
authors.forename: David A
authors.initials: DA
authors.lastname: Albiani
authors.forename: Andrew W
authors.initials: AW
authors.lastname: Kirker
authors.forename: Farzin
authors.initials: F
authors.lastname: Forooghian
authors.forename: Marinko V
authors.initials: MV
authors.lastname: Sarunic
authors.forename: Andrew B
authors.initials: AB
authors.lastname: Merkur
authors.forename: Mirza Faisal
authors.initials: MF
authors.lastname: Beg
mesh_terms: D000465:Algorithms; D001826:Body Fluids; D005189:False Positive Reactions; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008268:Macular Degeneration / Q000175:diagnosis* / Q000473:pathology*; D015588:Observer Variation; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012160:Retina / Q000473:pathology*; D055213:Retinal Pigment Epithelium / Q000473:pathology*; D059629:Signal-To-Noise Ratio; D058471:Subretinal Fluid; D041623:Tomography, Optical Coherence / Q000379:methods*